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Jonathan Lorraine
Jonathan Lorraine
Research Scientist, NVIDIA; PhD, University of Toronto
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Optimizing Millions of Hyperparameters by Implicit Differentiation
J Lorraine, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
4682020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters Using Structured Best-Response Functions
M MacKay, P Vicol, J Lorraine, D Duvenaud, R Grosse
International Conference on Learning Representations (ICLR), 2019
2082019
Stochastic Hyperparameter Optimization Through Hypernetworks
J Lorraine, D Duvenaud
Advances in Neural Information Processing Systems (NeurIPS) Meta-learning …, 2018
1632018
ATT3D: Amortized Text-To-3D Object Synthesis
J Lorraine, K Xie, X Zeng, CH Lin, T Takikawa, N Sharp, TY Lin, MY Liu, ...
International Conference on Computer Vision (ICCV), 2023
682023
On Implicit Bias in Overparameterized Bilevel Optimization
P Vicol, J Lorraine, F Pedregosa, D Duvenaud, R Grosse
International Conference on Machine Learning (ICML), 2022
55*2022
Understanding Neural Architecture Search Techniques
G Adam, J Lorraine
arXiv preprint arXiv:1904.00438, 2019
492019
Meta-Learning to Improve Pre-Training
A Raghu, J Lorraine, S Kornblith, M McDermott, D Duvenaud
Advances in Neural Information Processing Systems (NeurIPS), 2021
392021
Using Large Language Models for Hyperparameter Optimization
M Zhang, N Desai, J Bae, J Lorraine, J Ba
Advances in Neural Information Processing Systems (NeurIPS) Foundation …, 2023
372023
Graph Metanetworks for Processing Diverse Neural Architectures
D Lim, H Maron, MT Law, J Lorraine, J Lucas
International Conference on Learning Representations (ICLR), 2024
232024
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
K Xie, J Lorraine, T Cao, J Gao, J Lucas, A Torralba, S Fidler, X Zeng
European Conference on Computer Vision (ECCV), 2024
222024
Complex Momentum for Optimization in Games
J Lorraine, D Acuna, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
17*2022
Input Convex Gradient Networks
J Richter-Powell, J Lorraine, B Amos
Advances in Neural Information Processing Systems (NeurIPS) Optimal …, 2021
162021
Training Data Attribution via Approximate Unrolled Differentation
J Bae, W Lin, J Lorraine, R Grosse
Advances in Neural Information Processing Systems (NeurIPS), 2024
152024
Lyapunov Exponents for Diversity in Differentiable Games
J Lorraine, P Vicol, J Parker-Holder, T Kachman, L Metz, J Foerster
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
11*2022
Task Selection for AutoML System Evaluation
J Lorraine, N Anderson, C Lee, Q De Laroussilhe, M Hassen
arXiv preprint arXiv:2208.12754, 2022
42022
JacNet: Learning Functions with Structured Jacobians
J Lorraine, S Hossain
International Conference on Machine Learning (ICML) Invertible Neural …, 2019
4*2019
Scalable Nested Optimization for Deep Learning
J Lorraine
PhD Thesis, 2024
32024
Improving Hyperparameter Optimization with Checkpointed Model Weights
N Mehta, J Lorraine, S Masson, R Arunachalam, ZP Bhat, J Lucas, ...
European Conference on Computer Vision (ECCV) Efficient Deep Learning …, 2024
32024
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
Z Wang, J Lorraine, Y Wang, H Su, J Zhu, S Fidler, X Zeng
arXiv preprint arXiv:2411.09595, 2024
12024
Multi-Student Diffusion Distillation for Better One-step Generators
Y Song, J Lorraine, W Nie, K Kreis, J Lucas
arXiv preprint arXiv:2410.23274, 2024
2024
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